主题柱 · 搜索意图:informational
本地跑模型:显存 · 量化 · 何时划算
Ollama/vLLM 边界、显存与量化取舍、本地 vs API 费用。部署计算器用工具页,开源模型见开源频道。
先读结论
本地部署的账不是「买张卡就完」:电费、运维、量化质量与并发都要进 TCO。
本页给决策框架;具体显存估算用本地部署计算器,权重下载走开源模型频道。
本页是方法论枢纽,不堆实时报价。数字以链接中的数据页为准;我们不卖货、不担保到账。
相关指南(36)
聊天、写代码、批量、本地:同一需求怎么选四条路
先锁定你要完成的作业,再选官方订阅、卡网、官方 API 或中转。路径跟风比最低价更容易亏。
中转New API / One API 类网关选型
开源网关常见能力对比、部署注意、多模型路由与用户体系。
算力本地算力成本 vs 官方/中转 API:怎么算账
把显卡折旧、电费、带宽与 API Token 费用放到同一张账本上,判断何时自建、何时买 API。
硬件GPU 显存对照:什么卡能跑什么模型
按显存 GB 与模型参数档(7B/32B/70B/MoE)给出本地部署启发式对照表,含量化与上下文提示。
硬件本地大模型部署入门:Ollama / vLLM / llama.cpp
从选框架、下模型、占显存到对外 OPC 服务,理清本地 LLM 最小可行路径与常见坑。
硬件模型量化入门:Q4/Q5/FP8 与显存质量权衡
用白话解释量化为何省显存、常见位数怎么选、对编码/推理质量的影响与回测方法。
机房云 GPU / 显卡租赁入门:按时计费与避坑
租 A100/H100/4090 前要看的计价项、镜像、数据出境、闲置浪费与和 API 成本的对比方法。
机房机房地域与延迟:部署区域怎么选
用户在哪、模型在哪、数据能不能出境——用延迟、合规与成本三维选 region。
编程2026 AI Coding 工具栈:IDE / 模型 / API 怎么搭
编辑器插件、云模型、本地模型和中转 API 的组合方式,以及密钥与成本控制要点。
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Gemini 3.8 TTS 发布,本地部署与算力参考
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常见问题
- Ollama 能上生产吗?
- 适合原型与个人;高并发生产更常见 vLLM/TGI 等推理栈,并要监控与回滚。
- 量化会不会毁代码质量?
- 激进量化可能损伤推理与代码;应用侧应用业务评测集验证,而不是只看跑分。
其他主题柱
関連ツール
Clavue CLI / imux IDE / clavue-2.1
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查看模型 ↗